1929—1930年中国极端冷冬事件的重建*

气候变暖背景下,极端寒冷事件仍有发生且常伴随严重的经济、社会影响,需要更为深入的研究。1929—1930年极端冷冬事件作为增暖背景下的极端冷事件,对其研究相对缺乏。通过收集并分析民国时期的气象器测资料和报刊资料,对1929—1930年中国极端冷冬事件进行探讨。结果表明: (1)本次冷冬的空间范围包括华北地区、长江流域(重庆至入海口段)和北疆地区,西北地区可能存在冷冬;寒冷的核心时段为1929年12月到次年1月。(2)本次冷冬时空范围内的地区月平均气温极端性强,华北、长江流域的12月份均温都超过十年一遇的冷事件水平,长江流域、北疆地区的1月份均温均超过五十年一遇水平;但月最低气温的极端性较弱,大部分站点月的最低温达到五年一遇水平,部分站点月超过十年一遇水平。(3)本次冷冬至少经历了7次区域性或全国性的降温事件,其中有3次降温事件达到全国性寒潮事件标准,时段分别为12月1—5日、12月16—20日和1月1—5日;其中第1次和第3次是影响中国的典型中路寒潮路径,第2次降温过程的时空特征不显著。(4)综合本次冷冬前旱后涝气候特点、该时段内ENSO(厄尔尼诺-南方涛动)指数的变化以及前人对ENSO和中国气候变异的关系研究,推测1920s末到1930s初期的气象灾害很大程度受影响于ENSO事件。     

Analysis of extreme low-temperature events during the warm season in Northeast China

The trends of global warming are increasingly significant, especially in the middle and high latitude regions of the northern hemisphere, where the impact of climate change on extreme events is becoming more noticeable. Northeast China is located in a high latitude region and is sensitive to climate change. Extreme minimum temperatures causing cold damage during the warm season is a major type of agro-meteorological disaster in Northeast China, which causes serious reductions in crop yield. In this paper, we analyzed the temporal and spatial trends in the frequency of extreme minimum temperatures during the warm season (from May to September) during 1956–2005 in Northeast China. Abrupt climatic changes were identified using the Mann–Kendall test. The results show that the frequency of extreme minimum temperature days during the warm season in Northeast China decreases significantly from 1956 to 2005 with a background of climate warming. The highest number of extreme minimum temperature days occurred in the 1970s and 1980s, and there was an abrupt climatic change in 1993. The spatial analysis identified that the north and southeast of the region experienced a larger decrease in the number of extreme low temperature days than the west and south of the region. Rice, sorghum, corn, and soybeans are most vulnerable to cold damage. In severe low temperature years, the average crop yield was reduced by 15.2% in Northeast China.     

1961-2012年辽宁省极端气温事件气候变化特征

利用辽宁省52个气象台站逐日平均气温、 最高气温和最低气温数据, 使用国际通用的10种极端气候指数, 研究了1961-2012年辽宁省极端气温事件的气候变化特征. 结果表明: 年平均极端气温事件空间分布存在明显的地区差异. 时间尺度上, 1961-2012年辽宁省年及四季极端暖事件(暖昼日数、 暖夜日数、 夏季日数、 热带夜数和热浪持续指数)呈增加趋势, 极端冷事件(冷昼日数、 冷夜日数、 结冰日数、 霜冻日数和寒潮持续指数)呈减少趋势; 极端暖事件在20世纪90年代中期开始明显增加, 极端冷事件在20世纪80年代末期开始显著减少; 极端暖事件的变化速率要小于极端冷事件. 辽宁省气温日较差有增大的趋势, 极端暖(冷)事件的增加(减少)在秋季(冬季)最为显著. 空间变化上, 极端气温事件在全省基本都呈一致的增加或减少的分布. 多数极端气温事件均存在8 a左右的周期, 检测到的突变的时间大致在20世纪80年代中期到90年代末期. 20世纪80年代末期辽宁省气候变暖后, 极端暖事件和冷事件均有明显的增加和减少.     

明清时期中国东部高温事件年表重建和分析*

气候变化的背景下,极端暖事件的频率有增加的趋势。通过“语义差异法”识别了明清时期的高温事件,对其高温程度进行分级,建立了1350—1910年中国东部的高温事件年表,并对高温事件的发生时间、年代际特征进行了分析。结果表明: 明清时期有41个年份记录了高温事件,36个年份出现极端高温事件;高温事件发生频率和强度存在一定的阶段性变化,这种阶段性变化与北半球及中国气温的冷暖阶段变化有一定对应,与极端冷事件频率基本呈反相变化,1700—1749年和1800—1859年是明清时期极端高温事件发生频率最高且强度最大的2个时段,分别对应小冰期中期1710—1760年较温暖的时期和小冰期末期,16世纪末至17世纪是小冰期中最寒冷的一个阶段,极端高温事件相对不频繁,极端冷事件则发生频繁;高温事件还具有连年或隔年再发的特点。尝试利用现代器测资料和站点相关的计算方法对高温事件记录点所可能反映的地理范围进行了探讨,长江下游地区和华北平原的案例分析表明,历史时期记录有限,但区域的单点高温记录可能反映了范围比较广的极端高温事件。     

Changes of Extreme Indices over China in Response to 1.5 ℃ Global Warming Projected by a Regional Climate Model

The possible changes of extreme climates over China under 1.5 ℃ global warming scenario were investigated by using the output of CORDEX (COordinated Regional Downscaling Experiment) experiments with a regional air-sea coupled model FROALS over East Asia domain. Results indicated that compared to the baseline period of 1986-2005, warm events would significantly increase while cold events would significantly decrease over China in a 1.5 ℃ warmer world. The risks of extreme and moderate warm events would be 2.14 and 1.93 times of that in the baseline period, respectively. The risks of extreme and moderate cold events would be 0.58 and 0.63 times of that in the baseline period, respectively. Compared to other sub-regions, the increasing amplitude of extreme warm events would be higher in North China, while the decreasing amplitude of extreme cold events would be higher in Northeast China. Risks of extreme dry events would increase in Northwest China, Tibetan Plateau and Northeast China (1.13, 1.02 and 1.22 times of that in baseline period). Precipitation intensity and extreme wet events would increase significantly over most parts of China, and the increasing amplitudes extreme wet events will be higher in North China and South China (1.88 and 1.85 times of that in the baseline period). Days when people may feel uncomfortable would increase significantly in eastern China, and compared to simple extreme warm events, the increasing amplitude of extreme uncomfortable days would be larger. The absolute changes of heating degree-days would be larger than that of cooling degree-days (-258℃·d and 72℃·d, respectively) in eastern China, but the relative change of heating degree-days would be smaller than cooling degree-days (-10% and 82%, respectively).     

气候变暖背景下内蒙古大兴安岭生态功能区冷暖急转气候特征

1961-2015年内蒙古大兴安岭生态功能区气候变暖趋势明显,其气温突变年份为1987年。在气候变暖的背景下,生态功能区的严寒和寒冷日数在突变前呈减少趋势、在突变后呈增加趋势,表明突变后冬季冷天日数并没有明显减少趋势;炎热和温暖日数在突变后呈极显著增加趋势,而暖天日数突变前后变化较为平缓。综合来看,在气候变暖的背景下气温突变后高温日数增加要显著多于低温日数增加。过渡期日数变化趋势特征表明,严寒炎热过渡期、寒冷温暖过渡期和冷暖过渡期在突变后明显变短,生态功能区冷暖急转现象尤为明显。在历年尺度上,冷暖过渡期日数变化随着温度范围的扩大而减少幅度在加大。     

黑龙江省气温演变及未来趋势分析

利用1961-2015年的年平均及月平均气象资料,对黑龙江省全年、暖季与冷季平均气温进行分析,发现冷期和暖期持续时间相近,周期内的冷期和暖期平均气温相差较大。全年和冷季气温冷、暖期转换年份分别为1964年（暖转冷）、1988年（冷转暖）、2009年（暖转冷）;暖季气温转换年份分别为1969年（暖转冷）、1996年（冷转暖）、2015年前后（暖转冷）。利用模式方法和统计方法分别对2016-2030年黑龙江省气温变化趋势进行探讨,发现未来暖季和冷季气温上升幅度均变缓或者停滞,可能进入相对冷期。     

近40年中国平均气候与极值气候变化的概述

随着中国气象局对近50年来逐日气象观测资料的释放,人们从不同的角度对中国平均气候和极端气候的分布特征有了更多的了解.从目前研究的结果来看,这些认识需要有一个集成,即需要有一个总体的归纳和解释.通过中国近40年来的温度极值和降水极值事件的分析认识到全球增暖和区域环流异常决定着气候极值事件的分布格局.与全球增暖相联系的是:我国微量降水在空间上表现为一致的减少趋势,我国北方寒潮事件显著减少,冷夜和冷日的减少与暖夜和暖日的增多并存,以及极端强降水有增多的趋势.与东亚季风气流和西风带气流异常对应的我国有效降水在区域分布上发生了显著变化,东部季风区中的"北涝南旱"从1970年代末转型为"南涝北旱",与华南的偏干一起形成了东部季风区降水从华南、长江到华北的"-、 、-"异常分布型,但华南在1991年出现了转湿的突变;东北和西北先后从1983年和1987年前后转为暖湿气候.极端温度和极端降水趋势的空间分布与平均温度和平均降水趋势的空间分布一致.     

大尺度驱动因子对新疆极端冷事件的单一与耦合影响

全球变暖背景下,偶发极端冷事件产生的重大灾害损失不容忽视。探究区域极端冷事件的大尺度驱动因子的耦合影响,对预估和应对气候变化产生的极端灾害具有重要意义。本文基于新疆1961—2016年53个气象站点的逐日气温资料,通过反距离加权等方法对极端冷事件的时空演变特征进行分析;利用交叉小波变换对6个极端冷指数与大尺度驱动因子——北极涛动（AO）、北大西洋涛动（NAO）和厄尔尼诺-南方涛动（ENSO）进行多尺度分析;使用参数假设检验对大尺度驱动因子单一/耦合模态下的冷指数变化进行统计学显著性检验,随后对大尺度环流机制进行距平合成分析。结果表明：年均冷指数在时间尺度上均有显著性变化,新疆气温有明显的变暖趋势;空间尺度上冷指数在北疆、东疆和伊犁河谷地区的变化幅度远大于其他区域,存在空间差异性。AO、NAO与冷指数的相关性较强,ENSO与冷指数相关关系最弱但存在明显的时滞效应,大尺度驱动因子对极端冷指数的总体影响程度为AO>NAO>ENSO。单一模态下,极端冷事件在AO负位相、NAO负位相和La Ni?a事件期间易发生。耦合模态下,EI Ni?o-AO正位相和EI Ni?o-NAO正位相配置下冷日日数偏多;EI Ni?o-NAO负位相配置时极端低温值更小;La Ni?a-AO负位相和La Ni?a-NAO正位相时极端冷事件发生的可能性更大。EI Ni?o（La Ni?a）事件对AO（NAO）有一定的调制作用。新疆极端冷事件更易出现在La Ni?a-AO负位相、La Ni?a-NAO正位相时期,成因与亚欧大陆中高纬度位势异常导致冷空气路径偏西、乌拉尔阻塞加强与偏北气流影响新疆有关。     

卫星遥感首次监测到准噶尔盆地西北部的冬季融雪洪水

2010年1月,新疆北部出现了多次寒潮和60a一遇的连续暴雪天气.在此期间,准噶尔盆地西北部的裕民县及其邻近地区2010年1月6日出现了融雪型洪水.2010年1月裕民降雪量高达95mm,较历年同期偏多5.8倍,突破历史极值;2010年1月1—20日裕民日平均气温均方差达6.5℃,气温升降剧烈,变化幅度大.通过EOS/MODIS卫星遥感监测发现,2010年1月5日裕民县及其邻近地区地表有明显成片的液态水痕迹,而在其前后时段该地区为积雪覆盖.2010年1月,裕民县出现极端降雪事件的同时,极端暖事件与极端冷事件交替出现,隆冬时节的异常升温造成阶段气温异常偏高,引发冬季融雪型洪水.气候变暖背景下,需加强对新疆区域极端天气气候事件的监测、分析及其形成机理的研究,加强区域气候变化影响评估工作,采取切实可行的措施应对气候变化.     

Extreme cold winter events in southern China during AD 1650–2000

Zheng, J., Ding, L., Hao, Z. & Ge, Q. 2012 (January): Extreme cold winter events in southern China during AD 1650–2000. Boreas, Vol. 41, pp. 1–12. 10.1111/j.1502‐3885.2011.00225.x. ISSN 0300‐9483. We defined extreme cold winter events as those with occurrence probabilities lower than the 10th percentile of the probability density function, based on observed winter temperatures in southern China since 1951. Subsequently, we constructed impact severity levels using documentary evidence for those events during 1951–2000, considering three indexes for the freezing of rivers/lakes, widespread snow/ice storms, and cold damage to subtropical/tropical crops. Using these criteria we identified 50 extreme cold winters for the period AD 1650–1949 based on ～4000 pieces of comparable information extracted from local gazettes in southern China, after verification using data from three weather stations with long records. It was found that the frequencies of the extreme cold winter events since 1650 varied over time. The most frequent occurrences were found during AD 1650–1699 and in the first and second halves of the 19th century, with frequencies twice as high as in the second half of the 20th century. In contrast, the frequencies of extreme winters during the 18th century were close to that in the second half of the 20th century. High frequencies of extreme cold winters in AD 1650–1720 and AD 1795–1835 occurred during the sunspot Maunder and Dalton Minima. The intensities of some historical cold events, such as those during 1653–1654, 1670, 1690, 1861, 1892 and 1929, exceeded those of the coldest winter events since 1951.     

冰芯和气象记录揭示的青藏高原百年来典型冷暖时段气候变化特征

气候冷暖变化问题是全球科学家研究的一个聚焦点,但高海拔地区的气候变化过程尚不十分清楚,作为全球气候变化的敏感区的青藏高原更是如此. 以青藏高原北部的古里雅冰芯、唐古拉冰芯和南部的达索普冰芯、宁金岗桑冰芯δ¹⁸O记录作为温度代用指标,同时结合青藏高原西北缘的吉尔吉斯斯坦Naryn站长期气象记录和北半球同时期的气温变化进行比较,研究了过去100 a来青藏高原北部和南部的温度变化. 结果显示：青藏高原过去100 a来共出现1910年左右、1920年左右、1950年左右、1970年代4个冷期,各冷期之间对应出现4次暖期,并且变冷的程度越来越弱而变暖的程度越来越强. 其次,青藏高原气候的变冷变暖在不同地区和不同时段差异很大：从空间尺度上看,青藏高原北部变暖过程比南部更强烈;从时间尺度上看,1910年左右和1920年左右的两次变冷十分明显,但1950年左右和1970年代的两次变冷不明显. 另外,虽然有发生在1990年代早期的短暂降温过程,但与其说是一个冷事件,还不如说是一次变暖过程中的短暂停顿,随后表现为持续升温.     

辽宁省气温变化趋势中的城市化影响研究

利用1961 - 2017年逐日平均、 最低、 最高气温资料、 DMSP/OLS卫星夜晚灯光数据, 定量分析了城市化对辽宁省平均气温和极端气温指数趋势变化的影响。研究表明： 辽宁省气温呈显著增加趋势, 城市站增温速率明显快于乡村站; 平均最低气温增温率最快, 平均气温次之, 平均最高气温相对较慢; 四季增温速率依次为： 冬季>春季>秋季>夏季; 最低气温的城市化影响贡献率最大, 平均气温次之, 最高气温相对较小; 城市站最低气温的明显升高和最高气温增幅较小, 必将导致日较差明显减小和日较差城市化影响贡献率的增大。城市化加剧了辽宁省极端低温事件的显著减少和极端高温事件的明显增加, 城市化对极端气温事件影响显著。与冷事件有关的极端气温指数的城市化影响均为负值, 与暖事件有关的均为正值; 相对指数的城市化影响贡献率较大, 持续时间指数次之, 除气温日较差以外的绝对指数相对较小。基于最低气温的极端气温指数比基于最高气温的极端气温指数受城市化影响更显著, 其原因可能是城市热岛强度的非对称性以及城市站和乡村站气溶胶浓度之间的差异, 导致最高气温的增加没有最低气温的增加显著。     

青海省极端气温事件的气候变化特征研究

选用青海省37个气象站点1961-2011年近51 a, 逐日气温(最高、 最低、 平均)资料, 采用国际通用的极端气温指数定义计算了9种极端气温指数, 并分析其主要气候特征.结果表明: 近51 a青海省极端气温呈明显上升趋势, 极端冷指标(霜冻、 结冰日数、 冷夜、 冷昼指数)呈下降趋势, 而极端暖指标(夏天日数、 暖夜、 暖昼指数)呈上升趋势, 且极端冷指标的减少幅度高于极端暖指标的增加幅度.空间分布上, 极端气温指数在全省呈一致的上升(下降)趋势分布.在近51 a的时间尺度上各种极端气温指数都存在多个较明显的周期, 如较短的3~8 a的准周期, 以及13 a、 17 a、 27 a的年代际周期特征.青海省年平均气温与极端气温指数有很高的相关性, 气候变暖突变前后极端气温指数表现出明显差异: 在变暖突变发生后, 霜冻日数、 冷夜指数、 冷昼指数、 结冰日数明显减少, 夏天日数、 暖夜指数及暖昼指数明显增加, 其中相对指数几乎呈倍数显著变化, 表明极端气温指数对气候变暖有很好的响应.     

To what extent did changes in temperature affect China's socioeconomic development from the Western Han Dynasty to the Five Dynasties period?

Analysing the contribution of climate and non-climate change factors to social development and the occurrence of historical events represents important research on the impact of climate change. This study identifies combinations of social subsystem indices affected by temperature changes using the conceptual framework of food security, a priori knowledge and logical reasoning to statistically analyse three 10-year data series (grain harvest grades, famine indices and economic levels) from the Western Han Dynasty to the Five Dynasties period of ancient China (210 bc to 960 ad ). The results are as follows. For 94 of the 118 decades in the study period, social development was relatively directly related to temperature effects. On a decadal scale, against a cold background, grain production was closely related to temperature conditions in 40.7% of all decades. Economic prosperity and depressions in 5.1 and 21.2% of these decades, respectively, were directly related to temperature effects. Against a warm background, grain production was closely related to temperature conditions in 39% of all decades. Economic prosperity and depressions in 22 and 8.5% of these decades, respectively, were directly related to the temperature effects. The century and decadal-scale characteristics were the same. Specifically, when mostly negative combinations of natural–socioeconomic factors dominated, the proportion of decades was slightly higher in cold than in warm periods. This case study enables a scientific understanding of the effect of changes in mean climate values/trends on social development and further demonstrates the different effects of the climate change process and mechanism. Climate cooling and warming may bring more positive than negative impacts in some regions and more negative than positive impacts in others. Complex feedback may amplify or reduce the impact of climate cooling and warming. Climate that evolves unfavourably has an impact more strongly correlated with the socioeconomic system's vulnerability and adaptability. © 2020 John Wiley & Sons, Ltd.     

Characteristics analysis of extremely cold weather in the Greater Khingan Mountains region北大核心CSCD

Extremely cold weather has an important influence on winter production and life in the Greater Khingan Mountains region. This paper uses the daily minimum temperature data of ground observation stations during extreme cold weather from 1974 to 2021 in the Greater Khingan Mountains region, monthly circulation index data, the spatial distribution and temporal variation characteristics of extreme cold days and extreme minimum temperature were analyzed by climate statistical method; The abrupt changes and periods of extreme cold days and extreme minimum temperature were tested by Mann-Kendall method and Morlet wavelet analysis; calculating the recurrence period of extreme minimum temperature by empirical frequency method; correlation method was used to analyze the circulation factors which had significant influence on the number of extremely cold days. The results are followed: (1) The spatial distribution of extreme cold days in the Greater Khingan Mountains region was not uniform, and gradually decreasing from northwest to south. The extreme cold days was at most 717 d in Huzhong, and at least 29 d in Gagadaki, the extreme cold days in the whole region mutated in 1979, and the average annual extreme cold days decreased 14.2 d after the mutation compared with that before the mutation, and the annual extremely cold days have a significant cycle of 2 to 4 years. (2) The extreme minimum temperature in the whole region mutated in 1990, before the mutation the extreme minimum temperature was low and after the mutation began to rise, the significant cycle of annual extreme minimum temperature was 4 to 5 years, the extreme lowest temperature was -49.6 ℃ in Mohe, followed by -49.2 ℃ in Huzhong; the extreme lowest temperature occurs once every 2 years, once every 5 years and once every 10 years in Huzhong, while the extreme lowest temperature occurs once in 20 years, once in 50 years and once in 100 years in Mohe. (3) SCAND teleconnection patterm has a good correlation with extreme cold days in winter(January, February and December)in the Greater Khingan Mountains region. Positive growth of the circulation mode, it has great influence on the extreme cold weather in winter in the Greater Khingan Mountains region. © 2022 Science Press (China).     

An Assessment of Changes in Winter Cold and Warm Spells over Canada

The recent Third Assessment Report (TAR) of the Intergovernmental Panel onClimate Change (IPCC) indicated that observed 20th century changes in severalclimatic extremes are qualitatively consistent with those expected due to increasedgreenhouse gases. However, a lack of adequate data and analyses make conclusiveevidence of changing extremes somewhat difficult, particularly, in a global sense.In Canada, extreme temperature events, especially those during winter, can havemany adverse environmental and economic impacts. In light of the aforementionedIPCC report, the main focus of this analysis is to examine observed trends andvariability in the frequency, duration, and intensity of winter (Jan–Feb–Mar) cold and warm spells over Canada during the second half of the 20th century.Cold spell trends display substantial spatial variability across the country. From1950–1998, western Canada has experienced decreases in the frequency, duration, and intensity of cold spells, while in the east, distinct increases in the frequency and duration have occurred. These increases are likely associated with morefrequent occurrences of the positive phase of the North Atlantic Oscillation (NAO)during the last several decades. With regard to winter warm spells, significantincreases in both the frequency and duration of these episodes were observedacross most of Canada. One exception was found in the extreme northeasternregions, where warm spells are becoming shorter and less frequent. The resultsof this study are discussed within the context of climate warming expectations.     

中国全新世分区气温序列集成重建及特征分析*

按照气温变化规律将中国气温变化划分为东北、华北北部、华东华南、华南、陕甘宁、川黔桂、新疆和滇藏高原区等8个分区。搜集有确切年代和气温数值的古气温记录1397条,以8个分区为单元进行整理,以日历年时间为坐标系,采用单样本区域订正—多样本平均集成法重建了东北、华北北部、华东华南、华南和滇藏高原区的全新世200 a分辨率连续集成气温序列。结果表明：5条分区连续气温序列与所在区域的高分辨率环境记录变化趋势基本一致,主要的百年尺度冷暖事件有较高的可比性;5条分区连续序列指示全新世气温变化可以分为明显的早期升温、中期大暖期和晚期变冷3个阶段;气温变化幅度区域差异较大,但主要的冷暖事件基本一致,暖期盛期发生在8～6ka BP,当时滇藏高原约比现代高2℃,东北高出3℃,华北北部高1.5℃,华东华南接近1℃,华南区仅高出0.5℃;主要冷事件发生在9.2、6.2、4.0和0.4 ka BP,其中,4.0 ka BP冷事件规模较大,滇藏高原、东北、华北北部、华东华南和华南区降低幅度分别为1.5、2、1、0.5和0.5℃。全新世期间各分区气温变化幅度也表现出纬度从北向南、海拔从高到低、气温变化幅度依次递减的特征。     

Spatio-temporal distributions of climate disasters and the response of wheat yields in China from 1983 to 2008

Climate disasters are now on the rise and more likely to increase in frequency and/or severity under climate change in the future. To clearly illustrate spatial–temporal distributions of climate disasters and the response of wheat yields to disasters over the past three decades, several disaster indices including the impact of climate disasters, the sensitivity to climate disasters and the response index of wheat yield losses to climate disasters were defined and calculated. The impact and sensitivity indices were examined by the agricultural production losses due to climate disasters, and the response of wheat yields to climate disasters was assessed by wheat yield loss compared with the 5-year moving average. The results showed that the indices of climate disaster impacts and sensitivities as well as response index of wheat yields to climate disasters could represent the spatial–temporal distributions of climate disasters well in the whole China. Droughts in northern China had higher impacts and sensitivities than those in southern China during the period 1983–2008, but the impacts of floods were opposite. In northern China, although impacted area by drought was larger than that by flood, the flood sensitivities were larger than drought sensitivities when flood happened. Although drought significantly affected wheat yields in most of the regions with drier conditions during 1983–2008 in major wheat-producing regions, better management practices like irrigation and drought-tolerant cultivars applied in the Huang-Huai-Hai Plain can adapt to climate disasters especially droughts. To ensure the stability of agricultural production, future food security will need to be achieved through quantifying the relative effects of climate disasters and effective adaptation to increasingly frequent extreme climate events.     

全球气候变化与地质灾害响应分析

对全球气候变化对地质灾害的响应关系,尤其是对滑坡和泥石流灾害的响应关系进行了综述。工业化革命以来,特别是近几十年来全球气候发生着重要的变化,全球几乎所有地区都经历着升温过程。全球气候变化对极端天气事件(极端降雨、气温升高、强风和洪水灾害)的影响尤为强烈,并且增加了地质灾害的发生风险。其中,水循环和气温的变化是影响地质灾害发生的直接因素。气温上升会导致大气层含水量升高、冰川冻土退化、海平面上升、蒸发作用增强;水循环变化会导致降雨频率、降水周期、降水强度的改变。日益增加的极端天气与同岩土体相互作用,导致了不同类型地质灾害的发生,严重威胁着人类的生活起居。